This is a complete dump of the raw simulation outputs used in Section 3 of Hoffmann et. al. 2015. If you make use of any outputs, please cite the paper and link back to this page. Comments and questions should be addressed to email@example.com (or firstname.lastname@example.org).
The data is arranged into 3 sets of 12 simulations. Each archive contains one simulation. Per archive, the following files are available.
|Out_*.dat||Heliocentric coordinate outputs. One per million steps.|
|Energy_*.dat||Energy & angular momentum. One line per million steps.|
|Collision_*.dat||Log of collisions.|
|Ejections_*.dat||Log of ejections. Also includes particles falling into the sun.|
|master.out, Run_*.dat, info_*.dat||Runtime logs.|
|initial.dat, param.dat||Initial conditions, parameter file.|
Files are space separated text. Their format is described in the Genga Documentation. A number of supporting Python functions can be found on Github. In particular, io_helpers.py contains loading functions. An IPython notebook describing access may also be of interest. We currently do not provide Python code to reproduce the figures and tables, but may do so in the future. Please get in touch if you are interested.
If you wish to reproduce (rerun) the simulations, please note:
Simulations are evolved for 9 billion time steps with a step size of 6 days. Outputs are written every million steps. Overlapping particles are merged (perfect sticking) and retain the ID of the more massive particle. Particles experience gas drag for the first few million years. For more details, see the paper.
|NJS||12||01, 02, 03, 04, 05, 06, 07, 08, 09, 10, 11, 12||12 x 300 MB||No Giant Planets.|
|EJS||12||01, 02, 03, 04, 05, 06, 07, 08, 09, 10, 11, 12||12 x 50 MB||Eccentric Jupiter & Saturn.|
|CJS||12||01, 02, 03, 04, 05, 06, 07, 08, 09, 10, 11, 12||12 x 110 MB||Circular Jupiter & Saturn.|
Note that NJS runs 7, 8, 9, 10, and 12 have corrupted ejection files.
Also note that all runs may have partially corrupted collision files. Please get in touch by e-mail if you wish to use these.
We provide an IPython notebook to evaluate the analytic estimate in Section 5.2.